Rapport d'analyse

Dataset statistics

Number of variables	28
Number of observations	135265
Missing cells	88097
Missing cells (%)	2.3%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	79.2 MiB
Average record size in memory	613.6 B

Variable types

Numeric	16
Categorical	11
DateTime	1

Alerts

`barchive` has constant value "1"	Constant
`bstock` has constant value "1"	Constant
`indispobj` has constant value "0"	Constant
`puobj` has constant value "0"	Constant
`nomcli` has a high cardinality: 11395 distinct values	High cardinality
`prenomcli` has a high cardinality: 1842 distinct values	High cardinality
`villecli` has a high cardinality: 6259 distinct values	High cardinality
`libobj` has a high cardinality: 77 distinct values	High cardinality
`df_index` is highly correlated with `codcde` and 1 other fields	High correlation
`cpcli` is highly correlated with `code_departement`	High correlation
`codcde` is highly correlated with `df_index` and 1 other fields	High correlation
`timbrecde` is highly correlated with `cheqcli`	High correlation
`Nbcolis` is highly correlated with `Colis`	High correlation
`cheqcli` is highly correlated with `timbrecde` and 1 other fields	High correlation
`Colis` is highly correlated with `Nbcolis`	High correlation
`Poidsobj` is highly correlated with `points`	High correlation
`points` is highly correlated with `Poidsobj`	High correlation
`prixcond` is highly correlated with `cheqcli`	High correlation
`annee` is highly correlated with `df_index` and 1 other fields	High correlation
`code_departement` is highly correlated with `cpcli`	High correlation
`df_index` is highly correlated with `codcde` and 1 other fields	High correlation
`cpcli` is highly correlated with `code_departement`	High correlation
`codcde` is highly correlated with `df_index` and 1 other fields	High correlation
`timbrecde` is highly correlated with `cheqcli`	High correlation
`Nbcolis` is highly correlated with `Colis`	High correlation
`cheqcli` is highly correlated with `timbrecde`	High correlation
`Colis` is highly correlated with `Nbcolis`	High correlation
`annee` is highly correlated with `df_index` and 1 other fields	High correlation
`code_departement` is highly correlated with `cpcli`	High correlation
`df_index` is highly correlated with `codcde` and 1 other fields	High correlation
`cpcli` is highly correlated with `code_departement`	High correlation
`codcde` is highly correlated with `df_index` and 1 other fields	High correlation
`timbrecde` is highly correlated with `cheqcli`	High correlation
`Nbcolis` is highly correlated with `Colis`	High correlation
`cheqcli` is highly correlated with `timbrecde`	High correlation
`Colis` is highly correlated with `Nbcolis`	High correlation
`Poidsobj` is highly correlated with `points`	High correlation
`points` is highly correlated with `Poidsobj`	High correlation
`annee` is highly correlated with `df_index` and 1 other fields	High correlation
`code_departement` is highly correlated with `cpcli`	High correlation
`libobj` is highly correlated with `puobj` and 4 other fields	High correlation
`libcondit` is highly correlated with `puobj` and 3 other fields	High correlation
`genrecli` is highly correlated with `puobj` and 3 other fields	High correlation
`puobj` is highly correlated with `libobj` and 6 other fields	High correlation
`bstock` is highly correlated with `libobj` and 6 other fields	High correlation
`barchive` is highly correlated with `libobj` and 6 other fields	High correlation
`Tailleobj` is highly correlated with `libobj` and 4 other fields	High correlation
`indispobj` is highly correlated with `libobj` and 6 other fields	High correlation
`df_index` is highly correlated with `codcli` and 7 other fields	High correlation
`codcli` is highly correlated with `df_index` and 2 other fields	High correlation
`cpcli` is highly correlated with `code_departement`	High correlation
`codcde` is highly correlated with `df_index` and 7 other fields	High correlation
`timbrecde` is highly correlated with `df_index` and 7 other fields	High correlation
`Nbcolis` is highly correlated with `Colis`	High correlation
`codobj` is highly correlated with `df_index` and 6 other fields	High correlation
`qte` is highly correlated with `libobj` and 1 other fields	High correlation
`Colis` is highly correlated with `Nbcolis`	High correlation
`libobj` is highly correlated with `df_index` and 10 other fields	High correlation
`Tailleobj` is highly correlated with `df_index` and 10 other fields	High correlation
`Poidsobj` is highly correlated with `timbrecde` and 3 other fields	High correlation
`points` is highly correlated with `codobj` and 2 other fields	High correlation
`libcondit` is highly correlated with `df_index` and 8 other fields	High correlation
`prixcond` is highly correlated with `timbrecde` and 3 other fields	High correlation
`annee` is highly correlated with `df_index` and 7 other fields	High correlation
`code_departement` is highly correlated with `cpcli`	High correlation
`Tailleobj` has 86711 (64.1%) missing values	Missing
`qte` is highly skewed (γ1 = 69.4799042)	Skewed
`df_index` is uniformly distributed	Uniform
`df_index` has unique values	Unique
`timbrecli` has 130720 (96.6%) zeros	Zeros
`cheqcli` has 5312 (3.9%) zeros	Zeros
`Poidsobj` has 41283 (30.5%) zeros	Zeros
`points` has 20480 (15.1%) zeros	Zeros
`prixcond` has 76766 (56.8%) zeros	Zeros

Reproduction

Analysis started	2023-09-04 15:33:15.925876
Analysis finished	2023-09-04 15:34:04.737051
Duration	48.81 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

df_index
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	135265
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	67636.33763

Minimum	0
Maximum	135276
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	1.0 MiB

Quantile statistics

Minimum	0
5-th percentile	6763.2
Q1	33816
median	67636
Q3	101457
95-th percentile	128510.8
Maximum	135276
Range	135276
Interquartile range (IQR)	67641

Descriptive statistics

Standard deviation	39051.4976
Coefficient of variation (CV)	0.5773745145
Kurtosis	-1.200016374
Mean	67636.33763
Median Absolute Deviation (MAD)	33821
Skewness	4.737459577 × 10^-5
Sum	9148829210
Variance	1525019465
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1	< 0.1%
90176	1	< 0.1%
90190	1	< 0.1%
90189	1	< 0.1%
90188	1	< 0.1%
90187	1	< 0.1%
90186	1	< 0.1%
90185	1	< 0.1%
90184	1	< 0.1%
90183	1	< 0.1%
Other values (135255)	135255	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
135276	1	< 0.1%
135275	1	< 0.1%
135274	1	< 0.1%
135273	1	< 0.1%
135272	1	< 0.1%
135271	1	< 0.1%
135270	1	< 0.1%
135269	1	< 0.1%
135268	1	< 0.1%
135267	1	< 0.1%

codcli
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	29781
Distinct (%)	22.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	19724.40403

Minimum	27
Maximum	41291
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 MiB

Quantile statistics

Minimum	27
5-th percentile	1347
Q1	8068
median	19923
Q3	30915
95-th percentile	38060
Maximum	41291
Range	41264
Interquartile range (IQR)	22847

Descriptive statistics

Standard deviation	12334.75588
Coefficient of variation (CV)	0.6253550608
Kurtosis	-1.339268738
Mean	19724.40403
Median Absolute Deviation (MAD)	11327
Skewness	-0.02555644625
Sum	2668021511
Variance	152146202.7
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
786	128	0.1%
23550	124	0.1%
27059	121	0.1%
8993	106	0.1%
3190	101	0.1%
13516	100	0.1%
1903	99	0.1%
8163	87	0.1%
5576	86	0.1%
5165	85	0.1%
Other values (29771)	134228	99.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
27	1	< 0.1%
28	9	< 0.1%
29	1	< 0.1%
32	2	< 0.1%
36	5	< 0.1%
39	2	< 0.1%
40	5	< 0.1%
42	61	< 0.1%
43	1	< 0.1%
45	2	< 0.1%

Value	Count	Frequency (%)
41291	4	< 0.1%
41287	3	< 0.1%
41286	2	< 0.1%
41285	1	< 0.1%
41284	2	< 0.1%
41283	1	< 0.1%
41282	1	< 0.1%
41281	1	< 0.1%
41280	2	< 0.1%
41279	4	< 0.1%

genrecli
Categorical

HIGH CORRELATION

Distinct	7
Distinct (%)	< 0.1%
Missing	725
Missing (%)	0.5%
Memory size	7.8 MiB

Mme	79455
M.	25090
M. & Mme	24610
Melle	5377
Melles	3
Other values (2)	5

Length

Max length	8
Median length	3
Mean length	3.808079382
Min length	1

Characters and Unicode

Total characters	512339
Distinct characters	8
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Mme
2nd row	Mme
3rd row	Mme
4th row	M.
5th row	Mme

Common Values

Value	Count	Frequency (%)
Mme	79455	58.7%
M.	25090	18.5%
M. & Mme	24610	18.2%
Melle	5377	4.0%
Melles	3	< 0.1%
mme	3	< 0.1%
m	2	< 0.1%
(Missing)	725	0.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
mme	104068	56.6%
m	49702	27.0%
	24610	13.4%
melle	5377	2.9%
melles	3	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
M	159145	31.1%
e	114828	22.4%
m	104073	20.3%
.	49700	9.7%
	49220	9.6%
&	24610	4.8%
l	10760	2.1%
s	3	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	229664	44.8%
Uppercase Letter	159145	31.1%
Other Punctuation	74310	14.5%
Space Separator	49220	9.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	114828	50.0%
m	104073	45.3%
l	10760	4.7%
s	3	< 0.1%

Other Punctuation

Value	Count	Frequency (%)
.	49700	66.9%
&	24610	33.1%

Uppercase Letter

Value	Count	Frequency (%)
M	159145	100.0%

Space Separator

Value	Count	Frequency (%)
	49220	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	388809	75.9%
Common	123530	24.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
M	159145	40.9%
e	114828	29.5%
m	104073	26.8%
l	10760	2.8%
s	3	< 0.1%

Common

Value	Count	Frequency (%)
.	49700	40.2%
	49220	39.8%
&	24610	19.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	512339	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
M	159145	31.1%
e	114828	22.4%
m	104073	20.3%
.	49700	9.7%
	49220	9.6%
&	24610	4.8%
l	10760	2.1%
s	3	< 0.1%

nomcli
Categorical

HIGH CARDINALITY

Distinct	11395
Distinct (%)	8.4%
Missing	0
Missing (%)	0.0%
Memory size	8.3 MiB

MARIE	707
LAUNAY	400
GAUTIER	371
LEROY	370
DURAND	352
Other values (11390)	133065

Length

Max length	32
Median length	26
Mean length	6.913407016
Min length	2

Characters and Unicode

Total characters	935142
Distinct characters	44
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2276 ?
Unique (%)	1.7%

Sample

1st row	CHRETIEN
2nd row	CHRETIEN
3rd row	CHRETIEN
4th row	VERARDO
5th row	ROBERT

Common Values

Value	Count	Frequency (%)
MARIE	707	0.5%
LAUNAY	400	0.3%
GAUTIER	371	0.3%
LEROY	370	0.3%
DURAND	352	0.3%
MARTIN	345	0.3%
RICHARD	343	0.3%
LEBRETON	342	0.3%
DUVAL	324	0.2%
MOREL	312	0.2%
Other values (11385)	131399	97.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
le	2490	1.8%
marie	721	0.5%
launay	400	0.3%
gautier	371	0.3%
leroy	370	0.3%
martin	353	0.3%
durand	352	0.3%
richard	343	0.2%
lebreton	342	0.2%
tessier	327	0.2%
Other values (11296)	132723	95.6%

Most occurring characters

Value	Count	Frequency (%)
E	132675	14.2%
R	86735	9.3%
A	80938	8.7%
L	73160	7.8%
I	64640	6.9%
O	63226	6.8%
N	61421	6.6%
U	60238	6.4%
T	45505	4.9%
S	35563	3.8%
Other values (34)	231041	24.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	930376	99.5%
Space Separator	3607	0.4%
Dash Punctuation	883	0.1%
Other Punctuation	260	< 0.1%
Lowercase Letter	16	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	132675	14.3%
R	86735	9.3%
A	80938	8.7%
L	73160	7.9%
I	64640	6.9%
O	63226	6.8%
N	61421	6.6%
U	60238	6.5%
T	45505	4.9%
S	35563	3.8%
Other values (24)	226275	24.3%

Other Punctuation

Value	Count	Frequency (%)
'	250	96.2%
.	4	1.5%
"	4	1.5%
&	2	0.8%

Lowercase Letter

Value	Count	Frequency (%)
f	4	25.0%
s	4	25.0%
l	4	25.0%
i	4	25.0%

Space Separator

Value	Count	Frequency (%)
	3607	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	883	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	930392	99.5%
Common	4750	0.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	132675	14.3%
R	86735	9.3%
A	80938	8.7%
L	73160	7.9%
I	64640	6.9%
O	63226	6.8%
N	61421	6.6%
U	60238	6.5%
T	45505	4.9%
S	35563	3.8%
Other values (28)	226291	24.3%

Common

Value	Count	Frequency (%)
	3607	75.9%
-	883	18.6%
'	250	5.3%
.	4	0.1%
"	4	0.1%
&	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	934517	99.9%
None	625	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
E	132675	14.2%
R	86735	9.3%
A	80938	8.7%
L	73160	7.8%
I	64640	6.9%
O	63226	6.8%
N	61421	6.6%
U	60238	6.4%
T	45505	4.9%
S	35563	3.8%
Other values (26)	230416	24.7%

None

Value	Count	Frequency (%)
Ç	405	64.8%
Ï	103	16.5%
Î	73	11.7%
Ü	25	4.0%
À	9	1.4%
Œ	5	0.8%
Û	3	0.5%
Á	2	0.3%

prenomcli
Categorical

HIGH CARDINALITY

Distinct	1842
Distinct (%)	1.4%
Missing	324
Missing (%)	0.2%
Memory size	8.3 MiB

Michel	3068
Monique	2384
Jacqueline	2036
Francoise	2007
Annick	1960
Other values (1837)	123486

Length

Max length	29
Median length	26
Mean length	7.358534471
Min length	2

Characters and Unicode

Total characters	992968
Distinct characters	60
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	364 ?
Unique (%)	0.3%

Sample

1st row	Daniel
2nd row	Daniel
3rd row	Daniel
4th row	Anthony
5th row	Yvonne

Common Values

Value	Count	Frequency (%)
Michel	3068	2.3%
Monique	2384	1.8%
Jacqueline	2036	1.5%
Francoise	2007	1.5%
Annick	1960	1.4%
Nicole	1912	1.4%
Claude	1877	1.4%
Daniel	1602	1.2%
Therese	1600	1.2%
Martine	1545	1.1%
Other values (1832)	114950	85.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
michel	3210	2.3%
monique	2443	1.8%
jacqueline	2055	1.5%
francoise	2055	1.5%
nicole	1984	1.4%
annick	1971	1.4%
claude	1944	1.4%
et	1877	1.3%
daniel	1622	1.2%
therese	1614	1.2%
Other values (1495)	118283	85.1%

Most occurring characters

Value	Count	Frequency (%)
e	186712	18.8%
i	97207	9.8%
n	87576	8.8%
a	82014	8.3%
r	63364	6.4%
l	59851	6.0%
t	43005	4.3%
o	30317	3.1%
c	29110	2.9%
u	26714	2.7%
Other values (50)	287098	28.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	829837	83.6%
Uppercase Letter	147941	14.9%
Dash Punctuation	10876	1.1%
Space Separator	4117	0.4%
Other Punctuation	197	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	186712	22.5%
i	97207	11.7%
n	87576	10.6%
a	82014	9.9%
r	63364	7.6%
l	59851	7.2%
t	43005	5.2%
o	30317	3.7%
c	29110	3.5%
u	26714	3.2%
Other values (18)	123967	14.9%

Uppercase Letter

Value	Count	Frequency (%)
M	25216	17.0%
J	16354	11.1%
C	16031	10.8%
A	11823	8.0%
P	8265	5.6%
G	8189	5.5%
S	6878	4.6%
R	6834	4.6%
D	6784	4.6%
L	6534	4.4%
Other values (16)	35033	23.7%

Other Punctuation

Value	Count	Frequency (%)
&	137	69.5%
.	43	21.8%
,	16	8.1%
'	1	0.5%

Dash Punctuation

Value	Count	Frequency (%)
-	10876	100.0%

Space Separator

Value	Count	Frequency (%)
	4117	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	977778	98.5%
Common	15190	1.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	186712	19.1%
i	97207	9.9%
n	87576	9.0%
a	82014	8.4%
r	63364	6.5%
l	59851	6.1%
t	43005	4.4%
o	30317	3.1%
c	29110	3.0%
u	26714	2.7%
Other values (44)	271908	27.8%

Common

Value	Count	Frequency (%)
-	10876	71.6%
	4117	27.1%
&	137	0.9%
.	43	0.3%
,	16	0.1%
'	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	992965	> 99.9%
None	3	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	186712	18.8%
i	97207	9.8%
n	87576	8.8%
a	82014	8.3%
r	63364	6.4%
l	59851	6.0%
t	43005	4.3%
o	30317	3.1%
c	29110	2.9%
u	26714	2.7%
Other values (48)	287095	28.9%

None

Value	Count	Frequency (%)
œ	2	66.7%
á	1	33.3%

cpcli
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2276
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	48182.37992

Minimum	1120
Maximum	95870
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 MiB

Quantile statistics

Minimum	1120
5-th percentile	14200
Q1	28800
median	50690
Q3	61350
95-th percentile	76400
Maximum	95870
Range	94750
Interquartile range (IQR)	32550

Descriptive statistics

Standard deviation	20452.97062
Coefficient of variation (CV)	0.4244906675
Kurtosis	-0.8093470195
Mean	48182.37992
Median Absolute Deviation (MAD)	11450
Skewness	-0.3038085864
Sum	6517389620
Variance	418324007
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
61100	3282	2.4%
14000	1537	1.1%
61000	1503	1.1%
61800	1484	1.1%
72000	1382	1.0%
61700	1256	0.9%
53000	1119	0.8%
61600	1057	0.8%
14500	977	0.7%
61250	977	0.7%
Other values (2266)	120691	89.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1120	1	< 0.1%
1430	1	< 0.1%
1474	3	< 0.1%
2000	3	< 0.1%
2100	25	< 0.1%
2110	14	< 0.1%
2120	15	< 0.1%
2130	16	< 0.1%
2140	6	< 0.1%
2190	5	< 0.1%

Value	Count	Frequency (%)
95870	2	< 0.1%
95830	1	< 0.1%
95800	9	< 0.1%
95640	11	< 0.1%
95630	2	< 0.1%
95610	4	< 0.1%
95600	9	< 0.1%
95550	1	< 0.1%
95540	2	< 0.1%
95520	6	< 0.1%

villecli
Categorical

HIGH CARDINALITY

Distinct	6259
Distinct (%)	4.6%
Missing	0
Missing (%)	0.0%
Memory size	9.0 MiB

LE MANS	2229
CAEN	1537
LAVAL	1119
FLERS	1030
VIRE NORMANDIE	938
Other values (6254)	128412

Length

Max length	35
Median length	27
Mean length	12.378361
Min length	2

Characters and Unicode

Total characters	1674359
Distinct characters	55
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	807 ?
Unique (%)	0.6%

Sample

1st row	BOURGUEBUS
2nd row	BOURGUEBUS
3rd row	BOURGUEBUS
4th row	SAINT MALO
5th row	ALENCON

Common Values

Value	Count	Frequency (%)
LE MANS	2229	1.6%
CAEN	1537	1.1%
LAVAL	1119	0.8%
FLERS	1030	0.8%
VIRE NORMANDIE	938	0.7%
CHERBOURG EN COTENTIN	911	0.7%
ALENCON	760	0.6%
RENNES	694	0.5%
ARGENTAN	645	0.5%
LE HAVRE	549	0.4%
Other values (6249)	124853	92.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
le	12022	4.3%
sur	10883	3.9%
st	10521	3.8%
la	9785	3.5%
saint	9104	3.3%
en	5909	2.1%
de	5726	2.1%
les	5081	1.8%
du	3748	1.4%
mans	2425	0.9%
Other values (5509)	202263	72.9%

Most occurring characters

Value	Count	Frequency (%)
E	236625	14.1%
	142229	8.5%
A	132109	7.9%
L	131594	7.9%
R	121809	7.3%
N	121435	7.3%
S	112143	6.7%
I	101506	6.1%
O	86745	5.2%
U	75704	4.5%
Other values (45)	412460	24.6%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1527546	91.2%
Space Separator	142229	8.5%
Other Punctuation	4451	0.3%
Lowercase Letter	111	< 0.1%
Decimal Number	22	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	236625	15.5%
A	132109	8.6%
L	131594	8.6%
R	121809	8.0%
N	121435	7.9%
S	112143	7.3%
I	101506	6.6%
O	86745	5.7%
U	75704	5.0%
T	72771	4.8%
Other values (20)	335105	21.9%

Lowercase Letter

Value	Count	Frequency (%)
e	26	23.4%
n	15	13.5%
l	12	10.8%
i	11	9.9%
o	9	8.1%
u	8	7.2%
r	6	5.4%
v	5	4.5%
s	5	4.5%
b	4	3.6%
Other values (5)	10	9.0%

Decimal Number

Value	Count	Frequency (%)
7	10	45.5%
2	3	13.6%
1	2	9.1%
9	2	9.1%
6	2	9.1%
5	1	4.5%
0	1	4.5%
4	1	4.5%

Space Separator

Value	Count	Frequency (%)
	142229	100.0%

Other Punctuation

Value	Count	Frequency (%)
'	4451	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1527657	91.2%
Common	146702	8.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	236625	15.5%
A	132109	8.6%
L	131594	8.6%
R	121809	8.0%
N	121435	7.9%
S	112143	7.3%
I	101506	6.6%
O	86745	5.7%
U	75704	5.0%
T	72771	4.8%
Other values (35)	335216	21.9%

Common

Value	Count	Frequency (%)
	142229	97.0%
'	4451	3.0%
7	10	< 0.1%
2	3	< 0.1%
1	2	< 0.1%
9	2	< 0.1%
6	2	< 0.1%
5	1	< 0.1%
0	1	< 0.1%
4	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1673998	> 99.9%
None	361	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
E	236625	14.1%
	142229	8.5%
A	132109	7.9%
L	131594	7.9%
R	121809	7.3%
N	121435	7.3%
S	112143	6.7%
I	101506	6.1%
O	86745	5.2%
U	75704	4.5%
Other values (41)	412099	24.6%

None

Value	Count	Frequency (%)
Û	175	48.5%
Ç	136	37.7%
Î	48	13.3%
Œ	2	0.6%

codcde
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	70892
Distinct (%)	52.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	56834.25367

Minimum	478
Maximum	90048
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 MiB

Quantile statistics

Minimum	478
5-th percentile	20680.2
Q1	42027
median	58648
Q3	72837
95-th percentile	86706
Maximum	90048
Range	89570
Interquartile range (IQR)	30810

Descriptive statistics

Standard deviation	20267.2519
Coefficient of variation (CV)	0.3566027632
Kurtosis	-0.9251725864
Mean	56834.25367
Median Absolute Deviation (MAD)	15178
Skewness	-0.2881391328
Sum	7687685322
Variance	410761499.6
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
88130	20	< 0.1%
88599	18	< 0.1%
78651	17	< 0.1%
76115	14	< 0.1%
84161	14	< 0.1%
77462	14	< 0.1%
84497	14	< 0.1%
86199	13	< 0.1%
80579	13	< 0.1%
74386	13	< 0.1%
Other values (70882)	135115	99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
478	3	< 0.1%
754	2	< 0.1%
1386	1	< 0.1%
1938	1	< 0.1%
1963	2	< 0.1%
2141	1	< 0.1%
2990	1	< 0.1%
4504	1	< 0.1%
4859	2	< 0.1%
5465	1	< 0.1%

Value	Count	Frequency (%)
90048	2	< 0.1%
90047	2	< 0.1%
90045	3	< 0.1%
90044	1	< 0.1%
90043	2	< 0.1%
90042	2	< 0.1%
90041	2	< 0.1%
90040	1	< 0.1%
90039	1	< 0.1%
90038	1	< 0.1%

datcde
Date

Distinct	3935
Distinct (%)	2.9%
Missing	0
Missing (%)	0.0%
Memory size	1.0 MiB

Minimum	2004-10-22 00:00:00
Maximum	2021-07-26 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

timbrecli
Real number (ℝ_≥0)

ZEROS

Distinct	412
Distinct (%)	0.3%
Missing	4
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	0.1131842172

Minimum	0
Maximum	20.25
Zeros	130720
Zeros (%)	96.6%
Negative	0
Negative (%)	0.0%
Memory size	1.0 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	20.25
Range	20.25
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.760094766
Coefficient of variation (CV)	6.715554385
Kurtosis	103.8980789
Mean	0.1131842172
Median Absolute Deviation (MAD)	0
Skewness	8.926313061
Sum	15309.4104
Variance	0.5777440533
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	130720	96.6%
0.77	227	0.2%
4.24	184	0.1%
1.06	164	0.1%
1.59	135	0.1%
1.45	134	0.1%
5.4	124	0.1%
5.3	123	0.1%
4.32	118	0.1%
1.08	109	0.1%
Other values (402)	3223	2.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	130720	96.6%
0.1	1	< 0.1%
0.2	1	< 0.1%
0.31	1	< 0.1%
0.48	1	< 0.1%
0.49	2	< 0.1%
0.51	1	< 0.1%
0.53	23	< 0.1%
0.54	18	< 0.1%
0.55	14	< 0.1%

Value	Count	Frequency (%)
20.25	1	< 0.1%
20	1	< 0.1%
19.3	2	< 0.1%
18.55	1	< 0.1%
18.4	2	< 0.1%
16.53	3	< 0.1%
16.43	1	< 0.1%
15.9	3	< 0.1%
15.2	1	< 0.1%
15.12	5	< 0.1%

timbrecde
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	126
Distinct (%)	0.1%
Missing	9
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	5.076797776

Minimum	0.64
Maximum	17.9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 MiB

Quantile statistics

Minimum	0.64
5-th percentile	1.5
Q1	2.75
median	5.3
Q3	6.5
95-th percentile	8.7
Maximum	17.9
Range	17.26
Interquartile range (IQR)	3.75

Descriptive statistics

Standard deviation	2.356470545
Coefficient of variation (CV)	0.4641647449
Kurtosis	-0.2749414736
Mean	5.076797776
Median Absolute Deviation (MAD)	1.4
Skewness	0.119615601
Sum	686667.36
Variance	5.552953428
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4.35	9734	7.2%
1.5	9575	7.1%
4.6	8168	6.0%
2.5	7265	5.4%
5.8	6626	4.9%
5.6	6503	4.8%
1.65	6446	4.8%
6.5	5505	4.1%
5.9	4927	3.6%
5.1	3772	2.8%
Other values (116)	66735	49.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.64	206	0.2%
0.77	397	0.3%
1.4	2493	1.8%
1.45	261	0.2%
1.5	9575	7.1%
1.65	6446	4.8%
1.8	2040	1.5%
1.9	1704	1.3%
2.09	4	< 0.1%
2.1	1380	1.0%

Value	Count	Frequency (%)
17.9	10	< 0.1%
17.1	4	< 0.1%
16.3	6	< 0.1%
16.25	3	< 0.1%
15.5	2	< 0.1%
15.4	30	< 0.1%
14.6	44	< 0.1%
14.25	37	< 0.1%
14.1	18	< 0.1%
13.7	34	< 0.1%

Nbcolis
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	7
Distinct (%)	< 0.1%
Missing	8
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	1.017485232

Minimum	1
Maximum	7
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	1
Maximum	7
Range	6
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.1518708722
Coefficient of variation (CV)	0.1492610089
Kurtosis	203.7470659
Mean	1.017485232
Median Absolute Deviation (MAD)	0
Skewness	11.69883446
Sum	137622
Variance	0.02306476183
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
1	133183	98.5%
2	1851	1.4%
3	183	0.1%
4	21	< 0.1%
5	12	< 0.1%
6	5	< 0.1%
7	2	< 0.1%
(Missing)	8	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	133183	98.5%
2	1851	1.4%
3	183	0.1%
4	21	< 0.1%
5	12	< 0.1%
6	5	< 0.1%
7	2	< 0.1%

Value	Count	Frequency (%)
7	2	< 0.1%
6	5	< 0.1%
5	12	< 0.1%
4	21	< 0.1%
3	183	0.1%
2	1851	1.4%
1	133183	98.5%

cheqcli
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	848
Distinct (%)	0.6%
Missing	43
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	4.711899439

Minimum	0
Maximum	180
Zeros	5312
Zeros (%)	3.9%
Negative	0
Negative (%)	0.0%
Memory size	1.0 MiB

Quantile statistics

Minimum	0
5-th percentile	1.4
Q1	2.86
median	4.6
Q3	6.2
95-th percentile	8.7
Maximum	180
Range	180
Interquartile range (IQR)	3.34

Descriptive statistics

Standard deviation	2.601003809
Coefficient of variation (CV)	0.5520074956
Kurtosis	418.1100805
Mean	4.711899439
Median Absolute Deviation (MAD)	1.7
Skewness	6.751708281
Sum	637152.466
Variance	6.765220815
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4.35	12296	9.1%
1.5	7284	5.4%
1.4	5445	4.0%
0	5312	3.9%
5.8	5114	3.8%
5.1	4337	3.2%
4.6	4320	3.2%
6.5	3691	2.7%
4.3	3488	2.6%
5.6	3323	2.5%
Other values (838)	80612	59.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5312	3.9%
0.52	1	< 0.1%
0.53	3	< 0.1%
0.56	2	< 0.1%
0.57	1	< 0.1%
0.6	2	< 0.1%
0.64	251	0.2%
0.65	3	< 0.1%
0.7	9	< 0.1%
0.75	3	< 0.1%

Value	Count	Frequency (%)
180	2	< 0.1%
165	1	< 0.1%
74.3	1	< 0.1%
50	3	< 0.1%
47.72	2	< 0.1%
35	1	< 0.1%
20	1	< 0.1%
17.1	7	< 0.1%
17	9	< 0.1%
16.25	17	< 0.1%

barchive
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.5 MiB

1	135265

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	135265
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	135265	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	135265	100.0%

Most occurring characters

Value	Count	Frequency (%)
1	135265	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	135265	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	135265	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	135265	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	135265	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	135265	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	135265	100.0%

bstock
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.5 MiB

1	135265

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	135265
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	135265	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	135265	100.0%

Most occurring characters

Value	Count	Frequency (%)
1	135265	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	135265	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	135265	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	135265	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	135265	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	135265	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	135265	100.0%

codobj
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	120
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	68.61525894

Minimum	20
Maximum	168
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 MiB

Quantile statistics

Minimum	20
5-th percentile	24
Q1	42
median	65
Q3	84
95-th percentile	137
Maximum	168
Range	148
Interquartile range (IQR)	42

Descriptive statistics

Standard deviation	34.23426908
Coefficient of variation (CV)	0.4989308444
Kurtosis	-0.1948715913
Mean	68.61525894
Median Absolute Deviation (MAD)	23
Skewness	0.7725815836
Sum	9281243
Variance	1171.985179
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
42	13126	9.7%
41	12937	9.6%
84	10658	7.9%
71	10538	7.8%
115	9272	6.9%
48	6683	4.9%
45	4994	3.7%
44	4938	3.7%
20	4852	3.6%
79	4418	3.3%
Other values (110)	52849	39.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20	4852	3.6%
21	236	0.2%
22	485	0.4%
23	796	0.6%
24	2963	2.2%
25	135	0.1%
26	162	0.1%
27	195	0.1%
28	217	0.2%
29	535	0.4%

Value	Count	Frequency (%)
168	33	< 0.1%
167	1	< 0.1%
166	242	0.2%
165	232	0.2%
163	53	< 0.1%
162	132	0.1%
161	82	0.1%
160	419	0.3%
159	251	0.2%
158	53	< 0.1%

qte
Real number (ℝ_≥0)

HIGH CORRELATION
SKEWED

Distinct	27
Distinct (%)	< 0.1%
Missing	3
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	1.442031021

Minimum	1
Maximum	300
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	3
Maximum	300
Range	299
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.436833281
Coefficient of variation (CV)	0.9963955419
Kurtosis	13811.63316
Mean	1.442031021
Median Absolute Deviation (MAD)	0
Skewness	69.4799042
Sum	195052
Variance	2.064489877
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=27)

Value	Count	Frequency (%)
1	105297	77.8%
2	17492	12.9%
3	5850	4.3%
4	2777	2.1%
5	1335	1.0%
6	1335	1.0%
7	351	0.3%
8	233	0.2%
12	212	0.2%
10	162	0.1%
Other values (17)	218	0.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	105297	77.8%
2	17492	12.9%
3	5850	4.3%
4	2777	2.1%
5	1335	1.0%
6	1335	1.0%
7	351	0.3%
8	233	0.2%
9	114	0.1%
10	162	0.1%

Value	Count	Frequency (%)
300	1	< 0.1%
51	1	< 0.1%
28	1	< 0.1%
26	2	< 0.1%
25	3	< 0.1%
24	4	< 0.1%
22	1	< 0.1%
20	12	< 0.1%
19	1	< 0.1%
18	6	< 0.1%

Colis
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	8
Distinct (%)	< 0.1%
Missing	8
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	1.017374332

Minimum	0
Maximum	7
Zeros	2
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	1.0 MiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	1
Maximum	7
Range	7
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.1515180748
Coefficient of variation (CV)	0.1489305067
Kurtosis	205.1927145
Mean	1.017374332
Median Absolute Deviation (MAD)	0
Skewness	11.7271953
Sum	137607
Variance	0.02295772698
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
1	133192	98.5%
2	1842	1.4%
3	181	0.1%
4	21	< 0.1%
5	12	< 0.1%
6	5	< 0.1%
7	2	< 0.1%
0	2	< 0.1%
(Missing)	8	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2	< 0.1%
1	133192	98.5%
2	1842	1.4%
3	181	0.1%
4	21	< 0.1%
5	12	< 0.1%
6	5	< 0.1%
7	2	< 0.1%

Value	Count	Frequency (%)
7	2	< 0.1%
6	5	< 0.1%
5	12	< 0.1%
4	21	< 0.1%
3	181	0.1%
2	1842	1.4%
1	133192	98.5%
0	2	< 0.1%

libobj
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	77
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	8.9 MiB

Tete de menagere	13137
Drap de bain	12937
Flyer	10658
Points Bonus Fidelite	10538
Montre	9932
Other values (72)	78063

Length

Max length	24
Median length	19
Mean length	12.21370643
Min length	3

Characters and Unicode

Total characters	1652087
Distinct characters	54
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	< 0.1%

Sample

1st row	Polo
2nd row	T-shirt Blanc
3rd row	Montre
4th row	T-shirt Blanc
5th row	Tete de menagere

Common Values

Value	Count	Frequency (%)
Tete de menagere	13137	9.7%
Drap de bain	12937	9.6%
Flyer	10658	7.9%
Points Bonus Fidelite	10538	7.8%
Montre	9932	7.3%
Flyer 2014	9272	6.9%
Carte publicitaire	6683	4.9%
T-shirt Blanc	5311	3.9%
Jeu de cartes	4852	3.6%
Cle USB	4418	3.3%
Other values (67)	47527	35.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
de	34535	11.7%
flyer	24037	8.1%
points	14645	5.0%
tete	13141	4.4%
menagere	13141	4.4%
bain	12939	4.4%
drap	12939	4.4%
a	12763	4.3%
bonus	10540	3.6%
fidelite	10538	3.6%
Other values (97)	136583	46.2%

Most occurring characters

Value	Count	Frequency (%)
e	254492	15.4%
	160536	9.7%
r	116785	7.1%
t	110576	6.7%
a	104222	6.3%
i	96276	5.8%
l	81675	4.9%
n	77801	4.7%
o	64295	3.9%
s	56839	3.4%
Other values (44)	528590	32.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1248755	75.6%
Uppercase Letter	192877	11.7%
Space Separator	160536	9.7%
Decimal Number	39085	2.4%
Dash Punctuation	7868	0.5%
Math Symbol	2121	0.1%
Other Punctuation	845	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	254492	20.4%
r	116785	9.4%
t	110576	8.9%
a	104222	8.3%
i	96276	7.7%
l	81675	6.5%
n	77801	6.2%
o	64295	5.1%
s	56839	4.6%
u	50224	4.0%
Other values (14)	235570	18.9%

Uppercase Letter

Value	Count	Frequency (%)
F	36797	19.1%
T	25617	13.3%
C	25243	13.1%
B	24191	12.5%
P	19132	9.9%
S	18227	9.5%
D	12939	6.7%
M	11356	5.9%
J	4855	2.5%
U	4650	2.4%
Other values (9)	9870	5.1%

Decimal Number

Value	Count	Frequency (%)
2	9999	25.6%
1	9604	24.6%
0	9440	24.2%
4	9272	23.7%
6	688	1.8%
9	82	0.2%

Other Punctuation

Value	Count	Frequency (%)
.	609	72.1%
'	236	27.9%

Space Separator

Value	Count	Frequency (%)
	160536	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	7868	100.0%

Math Symbol

Value	Count	Frequency (%)
+	2121	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1441632	87.3%
Common	210455	12.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	254492	17.7%
r	116785	8.1%
t	110576	7.7%
a	104222	7.2%
i	96276	6.7%
l	81675	5.7%
n	77801	5.4%
o	64295	4.5%
s	56839	3.9%
u	50224	3.5%
Other values (33)	428447	29.7%

Common

Value	Count	Frequency (%)
	160536	76.3%
2	9999	4.8%
1	9604	4.6%
0	9440	4.5%
4	9272	4.4%
-	7868	3.7%
+	2121	1.0%
6	688	0.3%
.	609	0.3%
'	236	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1651715	> 99.9%
None	372	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	254492	15.4%
	160536	9.7%
r	116785	7.1%
t	110576	6.7%
a	104222	6.3%
i	96276	5.8%
l	81675	4.9%
n	77801	4.7%
o	64295	3.9%
s	56839	3.4%
Other values (43)	528218	32.0%

None

Value	Count	Frequency (%)
û	372	100.0%

Tailleobj
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	27
Distinct (%)	0.1%
Missing	86711
Missing (%)	64.1%
Memory size	5.6 MiB

Confidence	19926
Homme	4994
Femme	4938
Reynolds	2963
XL	2774
Other values (22)	12959

Length

Max length	14
Median length	10
Mean length	7.043580344
Min length	1

Characters and Unicode

Total characters	341994
Distinct characters	45
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	XL
2nd row	L
3rd row	Homme
4th row	XL
5th row	Confidence

Common Values

Value	Count	Frequency (%)
Confidence	19926	14.7%
Homme	4994	3.7%
Femme	4938	3.7%
Reynolds	2963	2.2%
XL	2774	2.1%
L	1883	1.4%
Colory	1782	1.3%
XXL	1762	1.3%
Verlaine	1486	1.1%
Rouge	1064	0.8%
Other values (17)	4982	3.7%
(Missing)	86711	64.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
confidence	19926	40.5%
homme	4994	10.1%
femme	4938	10.0%
reynolds	2963	6.0%
xl	2774	5.6%
l	1883	3.8%
colory	1782	3.6%
xxl	1762	3.6%
verlaine	1486	3.0%
rouge	1064	2.2%
Other values (20)	5636	11.5%

Most occurring characters

Value	Count	Frequency (%)
e	63571	18.6%
n	46184	13.5%
o	35055	10.3%
d	23515	6.9%
C	21883	6.4%
i	21648	6.3%
m	20799	6.1%
c	20098	5.9%
f	19926	5.8%
X	7822	2.3%
Other values (35)	61493	18.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	282674	82.7%
Uppercase Letter	55773	16.3%
Decimal Number	2292	0.7%
Space Separator	654	0.2%
Dash Punctuation	548	0.2%
Other Punctuation	53	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	63571	22.5%
n	46184	16.3%
o	35055	12.4%
d	23515	8.3%
i	21648	7.7%
m	20799	7.4%
c	20098	7.1%
f	19926	7.0%
l	6575	2.3%
r	6316	2.2%
Other values (11)	18987	6.7%

Uppercase Letter

Value	Count	Frequency (%)
C	21883	39.2%
X	7822	14.0%
L	7159	12.8%
H	4994	9.0%
F	4991	8.9%
R	4038	7.2%
M	2001	3.6%
V	1486	2.7%
B	626	1.1%
Q	274	0.5%
Other values (2)	499	0.9%

Decimal Number

Value	Count	Frequency (%)
1	875	38.2%
2	356	15.5%
8	217	9.5%
4	195	8.5%
9	162	7.1%
0	161	7.0%
5	135	5.9%
6	135	5.9%
7	56	2.4%

Space Separator

Value	Count	Frequency (%)
	654	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	548	100.0%

Other Punctuation

Value	Count	Frequency (%)
'	53	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	338447	99.0%
Common	3547	1.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	63571	18.8%
n	46184	13.6%
o	35055	10.4%
d	23515	6.9%
C	21883	6.5%
i	21648	6.4%
m	20799	6.1%
c	20098	5.9%
f	19926	5.9%
X	7822	2.3%
Other values (23)	57946	17.1%

Common

Value	Count	Frequency (%)
1	875	24.7%
	654	18.4%
-	548	15.4%
2	356	10.0%
8	217	6.1%
4	195	5.5%
9	162	4.6%
0	161	4.5%
5	135	3.8%
6	135	3.8%
Other values (2)	109	3.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	341994	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	63571	18.6%
n	46184	13.5%
o	35055	10.3%
d	23515	6.9%
C	21883	6.4%
i	21648	6.3%
m	20799	6.1%
c	20098	5.9%
f	19926	5.8%
X	7822	2.3%
Other values (35)	61493	18.0%

Poidsobj
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	64
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	150.3713156

Minimum	0
Maximum	9300
Zeros	41283
Zeros (%)	30.5%
Negative	0
Negative (%)	0.0%
Memory size	1.0 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	60
Q3	250
95-th percentile	400
Maximum	9300
Range	9300
Interquartile range (IQR)	250

Descriptive statistics

Standard deviation	247.4794399
Coefficient of variation (CV)	1.645788886
Kurtosis	209.6776811
Mean	150.3713156
Median Absolute Deviation (MAD)	60
Skewness	8.886271702
Sum	20339976
Variance	61246.07319
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	41283	30.5%
250	13140	9.7%
400	12939	9.6%
30	6236	4.6%
60	5444	4.0%
20	4938	3.7%
25	4418	3.3%
180	4290	3.2%
115	3324	2.5%
18	3181	2.4%
Other values (54)	36072	26.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	41283	30.5%
1	53	< 0.1%
5	280	0.2%
10	254	0.2%
15	46	< 0.1%
16	3	< 0.1%
18	3181	2.4%
20	4938	3.7%
22	161	0.1%
25	4418	3.3%

Value	Count	Frequency (%)
9300	13	< 0.1%
2950	87	0.1%
2600	77	0.1%
2250	223	0.2%
1680	525	0.4%
1540	36	< 0.1%
1500	163	0.1%
1352	308	0.2%
660	177	0.1%
540	1448	1.1%

points
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	23
Distinct (%)	< 0.1%
Missing	262
Missing (%)	0.2%
Infinite	0
Infinite (%)	0.0%
Mean	12.60023851

Minimum	-2500
Maximum	360
Zeros	20480
Zeros (%)	15.1%
Negative	21337
Negative (%)	15.8%
Memory size	1.0 MiB

Quantile statistics

Minimum	-2500
5-th percentile	-500
Q1	0
median	60
Q3	80
95-th percentile	150
Maximum	360
Range	2860
Interquartile range (IQR)	80

Descriptive statistics

Standard deviation	157.7550959
Coefficient of variation (CV)	12.52000871
Kurtosis	8.371968547
Mean	12.60023851
Median Absolute Deviation (MAD)	40
Skewness	-2.741594474
Sum	1701070
Variance	24886.67029
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=23)

Value	Count	Frequency (%)
100	20565	15.2%
0	20480	15.1%
60	19880	14.7%
80	15057	11.1%
-20	10790	8.0%
-500	10538	7.8%
150	10240	7.6%
40	7136	5.3%
20	5170	3.8%
30	3872	2.9%
Other values (13)	11275	8.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-2500	4	< 0.1%
-2000	3	< 0.1%
-1500	1	< 0.1%
-1000	1	< 0.1%
-500	10538	7.8%
-20	10790	8.0%
0	20480	15.1%
10	307	0.2%
15	2354	1.7%
20	5170	3.8%

Value	Count	Frequency (%)
360	164	0.1%
180	456	0.3%
150	10240	7.6%
120	1896	1.4%
100	20565	15.2%
90	242	0.2%
80	15057	11.1%
70	1743	1.3%
60	19880	14.7%
50	2244	1.7%

indispobj
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.5 MiB

0	135265

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	135265
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	135265	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	135265	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	135265	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	135265	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	135265	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	135265	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	135265	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	135265	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	135265	100.0%

libcondit
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	40
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.6 MiB

Enveloppe Tete de menagere	19982
Distingo 50 g	12362
Carton 5 kg	12048
Distingo 500 g	11767
Enveloppe Drap de Bain	9598
Other values (35)	69508

Length

Max length	32
Median length	24
Mean length	17.36617011
Min length	4

Characters and Unicode

Total characters	2349035
Distinct characters	44
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Carton Tete de menagere
2nd row	Carton Tete de menagere
3rd row	Carton Tete de menagere
4th row	Distingo 500 g
5th row	Carton Tete de menagere

Common Values

Value	Count	Frequency (%)
Enveloppe Tete de menagere	19982	14.8%
Distingo 50 g	12362	9.1%
Carton 5 kg	12048	8.9%
Distingo 500 g	11767	8.7%
Enveloppe Drap de Bain	9598	7.1%
Carton Ballon	7852	5.8%
Carton Drap de Bain	7733	5.7%
Lettre Suivie 500 g	7467	5.5%
Distingo 100 g	6707	5.0%
Lettre Suivie 1 Kg	4938	3.7%
Other values (30)	34811	25.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
g	53371	11.6%
carton	45711	9.9%
de	40037	8.7%
distingo	31048	6.7%
enveloppe	30938	6.7%
tete	22706	4.9%
menagere	22706	4.9%
kg	19953	4.3%
500	19234	4.2%
bain	17331	3.8%
Other values (38)	159017	34.4%

Most occurring characters

Value	Count	Frequency (%)
	326787	13.9%
e	273464	11.6%
n	169351	7.2%
i	135421	5.8%
a	134417	5.7%
t	133425	5.7%
o	131385	5.6%
g	127078	5.4%
r	110854	4.7%
0	92081	3.9%
Other values (34)	714772	30.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1574705	67.0%
Space Separator	326787	13.9%
Uppercase Letter	254642	10.8%
Decimal Number	183169	7.8%
Dash Punctuation	5503	0.2%
Other Punctuation	4227	0.2%
Math Symbol	2	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	273464	17.4%
n	169351	10.8%
i	135421	8.6%
a	134417	8.5%
t	133425	8.5%
o	131385	8.3%
g	127078	8.1%
r	110854	7.0%
p	91242	5.8%
l	58920	3.7%
Other values (11)	209148	13.3%

Uppercase Letter

Value	Count	Frequency (%)
D	49778	19.5%
C	45721	18.0%
E	35726	14.0%
B	25183	9.9%
T	24253	9.5%
S	18789	7.4%
M	18200	7.1%
L	15133	5.9%
G	6064	2.4%
P	5473	2.1%
Other values (4)	10322	4.1%

Decimal Number

Value	Count	Frequency (%)
0	92081	50.3%
5	53625	29.3%
1	28076	15.3%
2	9175	5.0%
3	212	0.1%

Space Separator

Value	Count	Frequency (%)
	326787	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	5503	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	4227	100.0%

Math Symbol

Value	Count	Frequency (%)
+	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1829347	77.9%
Common	519688	22.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	273464	14.9%
n	169351	9.3%
i	135421	7.4%
a	134417	7.3%
t	133425	7.3%
o	131385	7.2%
g	127078	6.9%
r	110854	6.1%
p	91242	5.0%
l	58920	3.2%
Other values (25)	463790	25.4%

Common

Value	Count	Frequency (%)
	326787	62.9%
0	92081	17.7%
5	53625	10.3%
1	28076	5.4%
2	9175	1.8%
-	5503	1.1%
/	4227	0.8%
3	212	< 0.1%
+	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2348979	> 99.9%
None	56	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	326787	13.9%
e	273464	11.6%
n	169351	7.2%
i	135421	5.8%
a	134417	5.7%
t	133425	5.7%
o	131385	5.6%
g	127078	5.4%
r	110854	4.7%
0	92081	3.9%
Other values (33)	714716	30.4%

None

Value	Count	Frequency (%)
û	56	100.0%

prixcond
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	16
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	51.44045392

Minimum	0
Maximum	655
Zeros	76766
Zeros (%)	56.8%
Negative	0
Negative (%)	0.0%
Memory size	1.0 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	34
95-th percentile	178
Maximum	655
Range	655
Interquartile range (IQR)	34

Descriptive statistics

Standard deviation	112.7080853
Coefficient of variation (CV)	2.191039866
Kurtosis	11.25986121
Mean	51.44045392
Median Absolute Deviation (MAD)	0
Skewness	3.306616802
Sum	6958093
Variance	12703.11248
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
0	76766	56.8%
132	12362	9.1%
34	11767	8.7%
43	7467	5.5%
25	7372	5.5%
178	6707	5.0%
545	4938	3.7%
15	4873	3.6%
315	1161	0.9%
17	882	0.7%
Other values (6)	970	0.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	76766	56.8%
9	3	< 0.1%
15	4873	3.6%
17	882	0.7%
25	7372	5.5%
34	11767	8.7%
35	565	0.4%
39	212	0.2%
43	7467	5.5%
45	106	0.1%

Value	Count	Frequency (%)
655	74	0.1%
545	4938	3.7%
315	1161	0.9%
178	6707	5.0%
132	12362	9.1%
68	10	< 0.1%
45	106	0.1%
43	7467	5.5%
39	212	0.2%
35	565	0.4%

puobj
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.5 MiB

0	135265

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	135265
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	135265	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	135265	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	135265	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	135265	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	135265	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	135265	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	135265	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	135265	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	135265	100.0%

annee
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	18
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2012.768255

Minimum	2004
Maximum	2021
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 MiB

Quantile statistics

Minimum	2004
5-th percentile	2006
Q1	2009
median	2013
Q3	2016
95-th percentile	2020
Maximum	2021
Range	17
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	4.292298526
Coefficient of variation (CV)	0.002132534889
Kurtosis	-1.066014168
Mean	2012.768255
Median Absolute Deviation (MAD)	3
Skewness	0.1303007879
Sum	272257098
Variance	18.42382664
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
2010	12293	9.1%
2011	10994	8.1%
2015	10685	7.9%
2014	10150	7.5%
2016	10141	7.5%
2006	9911	7.3%
2008	9347	6.9%
2012	8482	6.3%
2007	8245	6.1%
2009	8133	6.0%
Other values (8)	36884	27.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2004	10	< 0.1%
2005	27	< 0.1%
2006	9911	7.3%
2007	8245	6.1%
2008	9347	6.9%
2009	8133	6.0%
2010	12293	9.1%
2011	10994	8.1%
2012	8482	6.3%
2013	6816	5.0%

Value	Count	Frequency (%)
2021	3416	2.5%
2020	6198	4.6%
2019	6710	5.0%
2018	6677	4.9%
2017	7030	5.2%
2016	10141	7.5%
2015	10685	7.9%
2014	10150	7.5%
2013	6816	5.0%
2012	8482	6.3%

code_departement
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	94
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	47.82824086

Minimum	1
Maximum	95
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 MiB

Quantile statistics

Minimum	1
5-th percentile	14
Q1	28
median	50
Q3	61
95-th percentile	76
Maximum	95
Range	94
Interquartile range (IQR)	33

Descriptive statistics

Standard deviation	20.46248459
Coefficient of variation (CV)	0.4278326826
Kurtosis	-0.8105877476
Mean	47.82824086
Median Absolute Deviation (MAD)	12
Skewness	-0.3032657215
Sum	6469487
Variance	418.7132757
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
61	23996	17.7%
14	20595	15.2%
50	18342	13.6%
72	15230	11.3%
53	12498	9.2%
35	6446	4.8%
27	6365	4.7%
49	5003	3.7%
76	4354	3.2%
28	3712	2.7%
Other values (84)	18724	13.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	5	< 0.1%
2	231	0.2%
3	3	< 0.1%
4	12	< 0.1%
5	5	< 0.1%
6	21	< 0.1%
7	3	< 0.1%
8	153	0.1%
9	2	< 0.1%
10	41	< 0.1%

Value	Count	Frequency (%)
95	244	0.2%
94	338	0.2%
93	311	0.2%
92	388	0.3%
91	464	0.3%
90	17	< 0.1%
89	50	< 0.1%
88	36	< 0.1%
87	69	0.1%
86	118	0.1%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	df_index	codcli	genrecli	nomcli	prenomcli	cpcli	villecli	codcde	datcde	timbrecli	timbrecde	Nbcolis	cheqcli	barchive	bstock	codobj	qte	Colis	libobj	Tailleobj	Poidsobj	points	libcondit	prixcond	annee	code_departement
0	0	446	Mme	CHRETIEN	Daniel	14540	BOURGUEBUS	478	2004-10-22	5.0	4.80	1.0	NaN	1	1	38	2.0	1.0	Polo	XL	230	60.0	Carton Tete de menagere	0	2004	14
1	1	446	Mme	CHRETIEN	Daniel	14540	BOURGUEBUS	478	2004-10-22	5.0	4.80	1.0	NaN	1	1	30	2.0	1.0	T-shirt Blanc	L	170	60.0	Carton Tete de menagere	0	2004	14
2	2	446	Mme	CHRETIEN	Daniel	14540	BOURGUEBUS	478	2004-10-22	5.0	4.80	1.0	NaN	1	1	45	1.0	1.0	Montre	Homme	30	150.0	Carton Tete de menagere	0	2004	14
3	3	17860	M.	VERARDO	Anthony	35400	SAINT MALO	21239	2006-10-03	0.0	3.90	1.0	1.45	1	1	31	1.0	1.0	T-shirt Blanc	XL	180	60.0	Distingo 500 g	34	2006	35
4	4	1330	Mme	ROBERT	Yvonne	61000	ALENCON	1386	2004-11-23	4.0	6.50	1.0	NaN	1	1	42	3.0	1.0	Tete de menagere	Confidence	250	100.0	Carton Tete de menagere	0	2004	61
5	5	710	Mme	ADAM	Magalie	61440	MESSEI	754	2004-11-04	10.0	4.80	1.0	NaN	1	1	41	2.0	1.0	Drap de bain	NaN	400	80.0	Carton Poupee	0	2004	61
6	6	710	Mme	ADAM	Magalie	61440	MESSEI	754	2004-11-04	10.0	4.80	1.0	NaN	1	1	25	1.0	1.0	T-shirt Blanc	5-6 ans	80	60.0	Carton Poupee	0	2004	61
7	7	127	M.	HAREL	Daniel	76170	LILLEBONNE	1938	2004-12-10	5.1	6.00	1.0	NaN	1	1	41	4.0	1.0	Drap de bain	NaN	400	80.0	Carton Ballon	0	2004	76
8	8	1881	Mme	ABEL	Simone	27110	ECQUETOT	1963	2004-12-10	4.5	1.45	1.0	NaN	1	1	42	1.0	1.0	Tete de menagere	Confidence	250	100.0	Vide	0	2004	27
9	9	2847	Mme	TOURNIERE	Bernadette	50130	CHERBOURG EN COTENTIN	2990	2005-01-17	4.0	4.00	1.0	NaN	1	1	53	1.0	1.0	Serviette + gant	NaN	260	80.0	Lettre Suivie 500 g	43	2005	50

Last rows

	df_index	codcli	genrecli	nomcli	prenomcli	cpcli	villecli	codcde	datcde	timbrecli	timbrecde	Nbcolis	cheqcli	barchive	bstock	codobj	qte	Colis	libobj	Tailleobj	Poidsobj	points	libcondit	prixcond	annee	code_departement
135255	135267	17840	M.	BAZARD	Michel	56400	PLUMERGAT	90044	2021-07-26	0.0	7.35	1.0	7.95	1	1	166	1.0	1.0	Sac Isotherme	NaN	350	90.0	Carton 10 kg	0	2021	56
135256	135268	41287	Mme	DAVID	Veronique	14420	USSY	90045	2021-07-26	0.0	8.80	1.0	7.95	1	1	166	1.0	1.0	Sac Isotherme	NaN	350	90.0	Carton 10 kg	0	2021	14
135257	135269	41287	Mme	DAVID	Veronique	14420	USSY	90045	2021-07-26	0.0	8.80	1.0	7.95	1	1	79	1.0	1.0	Cle USB	NaN	25	40.0	Carton 10 kg	0	2021	14
135258	135270	41287	Mme	DAVID	Veronique	14420	USSY	90045	2021-07-26	0.0	8.80	1.0	7.95	1	1	135	1.0	1.0	Couteaux a Steak	NaN	386	60.0	Carton 10 kg	0	2021	14
135259	135271	37510	Mme	BIDAULT	Madeleine	14100	ST MARTIN DE LA LIEUE	90029	2021-07-21	0.0	7.95	1.0	7.60	1	1	71	1.0	1.0	Points Bonus Fidelite	NaN	0	-500.0	Enveloppe Tete de menagere	0	2021	14
135260	135272	39079	M. & Mme	GERMAIN	Christian	59600	ASSEVENT	90038	2021-07-26	0.0	7.35	1.0	7.35	1	1	109	1.0	1.0	Cloche a camembert	NaN	540	50.0	Carton 5 kg	0	2021	59
135261	135273	41291	M.	GERMAIN	Christophe	24100	BERGERAC	90047	2021-07-26	4.5	8.80	1.0	10.00	1	1	42	2.0	1.0	Tete de menagere	Confidence	250	100.0	Lettre Suivie 1 Kg	545	2021	24
135262	135274	41291	M.	GERMAIN	Christophe	24100	BERGERAC	90047	2021-07-26	4.5	8.80	1.0	10.00	1	1	29	3.0	1.0	T-shirt Blanc	M	160	60.0	Lettre Suivie 1 Kg	545	2021	24
135263	135275	41291	M.	GERMAIN	Christophe	24100	BERGERAC	90048	2021-07-26	4.2	7.95	1.0	10.00	1	1	27	3.0	1.0	T-shirt Blanc	12-14 ans	115	60.0	Lettre Suivie 2 Kg	655	2021	24
135264	135276	41291	M.	GERMAIN	Christophe	24100	BERGERAC	90048	2021-07-26	4.2	7.95	1.0	10.00	1	1	46	2.0	1.0	Peluche	NaN	200	100.0	Lettre Suivie 2 Kg	655	2021	24

Overview

Variables

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Other Punctuation

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Other Punctuation

Lowercase Letter

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Dash Punctuation

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Lowercase Letter

Decimal Number

Space Separator

Other Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number